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Record W4210505661 · doi:10.1111/imig.12976

Who are Canada’s temporary foreign workers? Policy evolution and a pandemic reality

2022· article· en· W4210505661 on OpenAlexaffabout
Marshia Akbar

Bibliographic record

VenueInternational Migration · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTemporary workContext (archaeology)CitizenshipWork (physics)InequalityPandemicEconomic shortagePolitical scienceSocial policyCoronavirus disease 2019 (COVID-19)Migrant workersDemographic economicsEconomic growthLabour economicsEconomicsGeographyLawMedicine

Abstract

fetched live from OpenAlex

Abstract Since the late‐2000s, Canada has admitted an increasing number of foreign workers with a wide range of temporary work permits to meet local labour shortages and growing labour market demands. Unlike permanent residents, temporary residents are subjected to restricted work authorizations and social citizenship rights. Besides, Canadian policies distinguish different groups of temporary foreign workers based on their skill level and work permit type to determine their eligibility for employment, social rights and permanent residency. Reviewing secondary sources, this paper contributes to analyzing the key policies that have shaped the diverse streams within the Canadian temporary migration program. The analysis also highlights the inequalities experienced by various categories of temporary foreign workers in Canada and assesses these inequalities within the context of the COVID‐19 pandemic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.828

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0100.005
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.297
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2022
Admission routes2
Has abstractyes

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